Virtualization AND Containers with Kubernetes

Let’s explore the basics of Kubernetes clusters, including the many layers composed of both virtualization and containers that make every single cloud based Kubernetes cluster possible. We can dig into the pros and cons of both sets of tools, and consider the possibilities for the future. What would a Kubernetes cluster using only virtualization look like? What would the advantages and disadvantages be? Together we’ll wrap our heads more tightly around the technologies that are defining cloud native.
Watch Now

Spotlight

OTHER ON-DEMAND WEBINARS

Closing IT Network Visibility Gaps Across The Oil & Gas Industry

Oil & Gas businesses rely on data-driven insights, so why leave visibility gaps across your IT network? In your industry, even the smallest improvements could make a huge difference to your company’s profitability. So wouldn’t it pay to know what a difference you could be making with better visibility through the Riverbed SteelCentral platform?
Watch Now

Desktop Virtualization: Delivering a Powerful Employee Experience, From Strategy to Production

Explore how Nexthink’s Desktop Virtualization initiative can empower IT teams with the control, visibility and actionable insight needed to successfully manage their virtualization lifecycle. By correlating technical metrics with employee sentiment data, Nexthink provides employee-centric visibility to measure, manage and improve employees’ virtualization experience.
Watch Now

Transforming Your Network Through Virtualization

Learn how and why service providers are using virtualization to transform their networks. This webinar will look at how providers are leveraging virtualization to create more flexible and agile networks while also providing a better customer experience. Expert speakers from netElastic and Heavy Reading will address the industry drivers for network virtualization, the benefits that can be realized, the challenges to face and the results of virtualization being achieved by providers today.
Watch Now

Parallel In-Memory Processing and Data Virtualization Redefine Analytics Architectures

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized repository. But this approach is slow and expensive, and sometimes not even feasible, because some data sources are too big to be replicated, and data is often too distributed such as those found in cloud data sources to make a “full centralization” strategy successful.
Watch Now

Spotlight

resources